Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

The development of a Novel Geosmin sensor and WSN platform for the deployment of sensors in water catchment areas

Ryecroft, SP (2021) The development of a Novel Geosmin sensor and WSN platform for the deployment of sensors in water catchment areas. Doctoral thesis, Liverpool John Moores University.

[img] Text
2021ryecroftphd.pdf - Published Version
Restricted to Repository staff only until 31 August 2024.
Available under License Creative Commons Attribution Non-commercial.

Download (3MB)

Abstract

Water is essential to our daily lives, we consume water in many ways, from drinking it to washing and bathing ourselves. In many developed countries such as the United Kingdom however these standards are ensured by water suppliers who processes and treat water before it enters the drinking water supply. This process involves the monitoring of water catchment areas used by treatment works which is currently monitored through manual methods only enabling the monitoring of small areas of large catchment areas. This thesis presents work that could enable the remote real time monitoring of water catchment sites. This thesis presents work showing the impact of conductivity on radio frequency communication distances and showing real world communication distances in the Leeds Liverpool canal of up to 7 meters at data rates of 1.2 kbps The real world experiments showed that lower baud rates could achieved larger communication distances, with further work undertaken at a water catchment site where communication distances of 17 meters at data rates of 1.2 kbps achieved with direct communication and showing data transmission across the air water boundary. This thesis also explores the development of microwave sensors for the detection of Geosmin and Alphacypermethrin in water samples, both of which are common contaminates within water catchment areas. This thesis applies machine learning to microwave data sets to identify frequencies sensitive to contaminates at levels as low as 5 ng/l for Geosmin and 25mg/m2 for Alphacypermethrin, enabling the future development of a microwave sensor targeted at the detection of these contaminates.

Item Type: Thesis (Doctoral)
Uncontrolled Keywords: sensor networks; UWSN; Machine Learning; Water monitoring; Geosmin; Alpha-cypermethrin; Bowtie antenna
Subjects: T Technology > T Technology (General)
T Technology > TD Environmental technology. Sanitary engineering
Divisions: Civil Engineering & Built Environment
Date Deposited: 01 Sep 2021 08:31
Last Modified: 18 Oct 2022 13:51
DOI or ID number: 10.24377/LJMU.t.00015342
Supervisors: Shaw, A, Fergus, P and Kot, P
URI: https://researchonline.ljmu.ac.uk/id/eprint/15342
View Item View Item